Title :
Application of fuzzy logic technology for spatial load forecasting
Author :
Chow, Mo-Yuen ; Tram, Hahn
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fDate :
8/1/1997 12:00:00 AM
Abstract :
Utilities are required to provide reliable power to customers. In the design stages, utilities need to plan ahead for anticipated future load growth under different possible scenarios. Their decisions and designs can affect the gain or loss of millions of dollars for their companies as well as customer satisfaction and future economic growth in their territory. This paper proposes and describe the general methodology to use fuzzy logic to fuse the available information for spatial load forecasting. The proposed scheme can provide distribution planners other alternatives to aggregate their information for spatial load forecasting
Keywords :
distribution networks; electricity supply industry; fuzzy logic; load forecasting; power system planning; customer satisfaction; distribution network planning; economic growth; electric utilities; fuzzy logic technology; load growth; power systems; spatial load forecasting; Aggregates; Costs; Customer satisfaction; Distributed computing; Economic forecasting; Fuzzy logic; Geographic Information Systems; Load forecasting; Power generation economics; Power system reliability;
Journal_Title :
Power Systems, IEEE Transactions on